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ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
Online clothing shopping has become increasingly popular, but the high rate of returns due to size and fit issues has remained a major …
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Difficulty Estimation With Action Scores for Computer Vision Tasks
As more machine learning models are now being applied in real world scenarios it has become crucial to evaluate their difficulties and …
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Chemical Property-Guided Neural Networks for Naphtha Composition Prediction
The naphtha cracking process heavily relies on the composition of naphtha, which is a complex blend of different hydrocarbons. …
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FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
In this work, we propose an open-source scalable end-to-end RTL framework FieldHAR, for complex human activity recognition (HAR) from …
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A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can …
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On the Future of Training Spiking Neural Networks
Spiking Neural Networks have obtained a lot of attention in recent years due to their close depiction of brain functionality as well as …
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Optimization of DRAM based PIM Architecture for Energy-Efficient Deep Neural Network Training
Deep Neural Network (DNN) training consumes high-energy. On the other hand, DNNs deployed on edge devices demand very high-energy …
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